城市数字化创新的公共价值领导力:一个能力框架

IF 2.1 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS IET Smart Cities Pub Date : 2023-09-02 DOI:10.1049/smc2.12063
Viviana Bastidas, Kwadwo Oti-Sarpong, Timea Nochta, Li Wan, Junqing Tang, Jennifer Schooling
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引用次数: 0

摘要

智慧城市中领先的数字创新项目需要具备合适能力的合适人力资源。这样的要求是具有挑战性的,因为城市管理者和建筑环境专业人员传统上是在学科和专业竖井中训练和工作的。这导致缺乏知识、能力和工具,无法为跨多个部门的社区产生最佳结果。在社会技术和多学科方法的指导下,DC2 - CF框架旨在帮助城市规划者识别、发展和扩大他们有效引导负责任的数字创新和确保公共价值创造所需的能力。DC2‐CF提出了一个数字创新过程模型,根据与城市数字领导者合作的经验教训,促进成功的城市数字创新项目的交付。此外,DC2‐CF提供了一个交付结构,该结构确定了在实践中使用创新过程模型所需的具体任务、能力和角色,并打破了目前城市中存在的专业竖井。该框架旨在帮助城市规划者培养地方当局和私营部门在数字城市发展方面的领导能力,促进协同工作和有效的公共价值创造。
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Leadership of urban digital innovation for public value: A competency framework

Leading digital innovation projects in smart cities requires the right human resources with the right set of competencies. Such requirement is challenging because city managers and built environment professionals are traditionally trained and work in disciplinary and professional silos. This results in a lack of knowledge, abilities, and tools to produce optimal outcomes for communities across multiple sectors. Guided by a socio-technical and multidisciplinary approach, the DC2-CF framework is proposed to help urban planners identify, develop and expand the competencies they need to effectively steer responsible digital innovation and ensure public value creation. The DC2-CF proposes a digital innovation process model to facilitate the delivery of successful urban digital innovation projects based on the lessons learned from working with city digital leaders. In addition, the DC2-CF provides a delivery structure which identifies specific tasks, competencies, and roles necessary to enable the use off the innovation process model in practice and break down the professional silos currently existing in cities. The framework is envisioned to assist city planners in fostering leadership capacity in local authorities and the private sector in digital city development, contributing to enhancing collaborative working and effective public value creation.

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来源期刊
IET Smart Cities
IET Smart Cities Social Sciences-Urban Studies
CiteScore
7.70
自引率
3.20%
发文量
25
审稿时长
21 weeks
期刊最新文献
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